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the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Artificial Intelligence and Deep Learning. The appointment
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: Master’s degree in computer science, computer/software engineering, applied mathematics, artificial intelligence, or a related field. Strong skills in deep learning (e.g., PyTorch/TensorFlow). Experience in
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 3 months ago
completed projects, preferably with publicly available repositories. Experience with deep learning frameworks such as PyTorch and JAX. Hands-on experience in developing and training deep learning models
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Staff Scientist within SDL1: Inorganic Expertise in the following areas is desired: -Design, development, and operation of electrochemistry self-driving labs -Deep understanding of self-driving workflows
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of Religious Studies is hiring two course lecturers to team-teach RELG 270 Religious Ethics and the Environment in the Winter 2026 term. Teaching Qualification Requirements: Education Minimum of a Ph.D. in
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to Information Act. Applicants may direct any informal inquiries to: Jason Moffat, PhD Program Head, Genetics & Genome Biology Program SickKids, The Peter Gilgan Centre for Research & Learning 686 Bay Street
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projects across the following areas: Spatial and Single-Cell Proteomics in Childhood Cancer Cell-cell communication & cellular fitness in CAR-T & CAR-NK therapy Deep learning & LLMs in mass spectrometry data
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inclusion strengthen the community and enhance excellence, innovation, creativity, and patient care, and we are dedicated to recruiting individuals who will enrich our work, learning, and clinical
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workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness
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an anticipated start date of January 1st, 2026 and end on December 31st, 2028. Candidates are expected to have earned a PhD in the broad area of Molecular Biology, Genetics, Microbiology, Virology, or related